• Corpus ID: 231951374

# Multilevel calibration weighting for survey data

@inproceedings{BenMichael2021MultilevelCW,
title={Multilevel calibration weighting for survey data},
author={Eli Ben-Michael and Avi Feller and Erin Hartman},
year={2021}
}
• Published 17 February 2021
• Mathematics
In the November 2016 U.S. presidential election, many state level public opinion polls, particularly in the Upper Midwest, incorrectly predicted the winning candidate. One leading explanation for this polling miss is that the precipitous decline in traditional polling response rates led to greater reliance on statistical methods to adjust for the corresponding bias—and that these methods failed to adjust for important interactions between key variables like education, race, and geographic…
6 Citations

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